Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

2° Year   activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
Final exam
24
E
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Between the years: 1°- 2°
English B2
3
F
-
Between the years: 1°- 2°
Between the years: 1°- 2°
Further activities
3
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S010509

Credits

6

Coordinator

Franco Fummi

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Embeedded and IoT Systems
The activity is given by Embedded & IoT Systems Design - Embedded and IoT Systems of the course: Master's degree in Computer Engineering for Robotics and Smart Industry

Credits

3

Period

Semester 1

Academic staff

Franco Fummi

IoT Systems
The activity is given by Networked embedded & IoT systems - IoT Systems of the course: Master's degree in Computer Engineering for Robotics and Smart Industry

Credits

3

Period

Semester 2

Academic staff

Davide Quaglia

Learning objectives

The course focuses on complex IoT systems that present the interaction of embedded components with cloud components through a communication network. The course aims to describe the techniques for the automatic design of such systems, also present in the industrial field, starting from their specification to go through verification, automatic synthesis and testing. The main languages ​​for dealing with this type of project and the most advanced automatic tools for their manipulation are also presented. At the end of the course the students will have to demonstrate that they have the following ability to apply the acquired knowledge: to identify, starting from the specifications, the best architecture for a complex IoT system; model, design and verify complex analog / digital components; develop embedded software and interact with IoT and cloud architectures; partition a functionality between HW and SW with attention to network architecture and operating systems; build a project report highlighting the critical aspects resolved; to be able to use additional languages ​​for the design of IoT systems starting from those studied in the course.

Prerequisites and basic notions

There are no specific requirements

Program

* Modeling
- Embedded & IoT systems modeling
- SysML for systems modeling
* IoT & SW
- IoT and Cloud
- IoT Middleware
- Embedded software modeling
- Embedded AI software modeling
- Programming of embedded IoT devices
* IoT & HW
- High-level synthesis (HLS)
- Verilog syntax
- HDL timing simulation
- RTL synthesis: verilog
* IoT & Network
- Network architectures for IoT
- Monitoring and configuring the quality of service of the network
- Time synchronization
- Synthesis and simulation of IoT applications

Didactic methods

Each theoretical frontal lesson is exemplified with laboratory activities. Both are supported by material on the elearning site. Recordings of all lessons are available on the Moodle pages of the A.Y.21/22.

Learning assessment procedures

The exam is composed of two parts: theory and laboratory report.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, the students must show:
- they have understood the principles of embedded and IoT system architectures;
- they are able to model and simulate a complex embedded and IoT system;
- they are able to develop embedded software interacting with network and operating system;
- they are able to apply the acquired knowledge to solve application scenarios in the context of IoT.

Criteria for the composition of the final grade

The final exam consists of a written test containing questions and exercises. The student must also provide a report of all laboratory activities to complete the exam. The final grade is the sum of the theory exam and the evaluation of the laboratory report.

Exam language

English